Modelling and Simulation of Energy Storage System for Grid-Connected Wind-PV System

International Journal of Trend in
International Open Access Journal
ISSN No: 2456
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Modelling and Simulati
Grid-Connected Wind
M.Tech Scholar, Electrical Engineering Department
YIET, Gadhauli
ABSTRACT
In this paper, a grid connected hybrid power system
comprising wind and solar based renewable energy
sources (RERs) is proposed. As these RERs
intermittent and random in nature, so a backup source
is needed for smoothening the fluctuations in RERs
output power. Battery energy storage (BESS) is
proposed for this purpose. The electrical grid of the
example represents a typical Utility distribu
system. It consists of a 120-kV transmission system
equivalent supplying a 25-kV distribution substation.
Several feeders are connected to the 25-
substation. One of them supplies the power to a
community that owns the PV farm and an ener
storage system. The grounding transformer connected
at the 25-kV bus provides a neutral point and limits
the overvoltage on the healthy phases during a single
phase fault. Its zero-sequence impedance is three
times the value of the grid positive sequenc
impedance.
I. INTRODUCTION
Fossil fuels (oil, coal and natural gas) have been
throughout history, the backbone on which industrial
activity has been developed and nowadays, they are
the main energy resource of an industrialized society
and also they have been the responsible of inequalities
between countries with a limited access to this kind of
resources, hindering their development. Figure 1
shows how fossil fuels supplied the highest amount of
energy in 2017, however, this energy model has seen
its days because the reserves of these fuels are
declining, and in accordance with studies of the IEA
(International Energy Agency), the demand of energy
will continue growing due to the reliance on
technology, enhanced living standards of developed
countries and continuous increase of population in the
developing countries [2].
International Journal of Trend in Scientific Research and Development
International Open Access Journal | www.ijtsrd.com
ISSN No: 2456 - 6470 | Volume - 3 | Issue – 1 | Nov
www.ijtsrd.com | Volume – 3 | Issue – 1 | Nov-Dec 2018
Modelling and Simulation of Energy Storage System for
Connected Wind-PV System
Ajaz Ul Haq
M.Tech Scholar, Electrical Engineering Department
YIET, Gadhauli, Yamunanagar, Haryana, India
In this paper, a grid connected hybrid power system
comprising wind and solar based renewable energy
sources (RERs) is proposed. As these RERs are
intermittent and random in nature, so a backup source
is needed for smoothening the fluctuations in RERs
output power. Battery energy storage (BESS) is
proposed for this purpose. The electrical grid of the
example represents a typical Utility distribution
kV transmission system
kV distribution substation.
-kV bus of the
substation. One of them supplies the power to a
community that owns the PV farm and an energy
storage system. The grounding transformer connected
kV bus provides a neutral point and limits
the overvoltage on the healthy phases during a single-
sequence impedance is three
times the value of the grid positive sequence
Fossil fuels (oil, coal and natural gas) have been
throughout history, the backbone on which industrial
activity has been developed and nowadays, they are
the main energy resource of an industrialized society
been the responsible of inequalities
between countries with a limited access to this kind of
resources, hindering their development. Figure 1
shows how fossil fuels supplied the highest amount of
energy in 2017, however, this energy model has seen
because the reserves of these fuels are
declining, and in accordance with studies of the IEA
(International Energy Agency), the demand of energy
will continue growing due to the reliance on
technology, enhanced living standards of developed
continuous increase of population in the
II. MICROGRID STRUCTURE AND
COMPONENTS
A microgrid includes distributed energy resource
(DER) (photovoltaics, small wind turbines, fuel cells,
internal combustion engines, microturbines, etc.),
distributed energy storage devices (flywheels,
superconductor inductors, batteries, etc.), and loads.
DERs can be divided into two main groups: (i) DER
directed-coupled conventional rotating machines (e.g.,
an induction generator driven by a fixed
turbine), and (ii) DER grid-coupled with the inverter
(e.g. Photovoltaic, fuel cells, etc.). Distributed energy
storage devices can be charged with the power excess
and discharge to cover the power deficit. Thus, they
help to enhance the reliability of
making it efficient and economical. Furthermore,
energy storage is known as fast response devices.
Therefore, they also prevent transient instability and
participate to control the voltage and the frequency of
the microgrid by providing the balance reserve
ranging from short time. The diagram of a microgrid
which includes many systems: PV, a variable
wind generator, fuel cell, microturbine and a battery
energy storage system is shown in Figure 1. Each
distributed energy resource
corresponding bus through a power
converter. The microgrid is connected to the upstream
network at the Point of common coupling (PCC). The
power is furnished from a Low
transmission grid, through a substation
The microgrid operates with two modes: the grid
connected mode and the islanded mode. In the grid
connected mode, the PCC is closed and the microgrid
is connected with the main grid. It leads that the
microgrid can exchange energy with the mai
When the upstream network occurs the disturbance or
the microgrid gets the optimal operation state, the
switch at PCC can be opened to disconnect the
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1 | Nov – Dec 2018
Dec 2018 Page: 591
on of Energy Storage System for
MICROGRID STRUCTURE AND
A microgrid includes distributed energy resource
(DER) (photovoltaics, small wind turbines, fuel cells,
internal combustion engines, microturbines, etc.),
distributed energy storage devices (flywheels,
superconductor inductors, batteries, etc.), and loads.
DERs can be divided into two main groups: (i) DER
coupled conventional rotating machines (e.g.,
an induction generator driven by a fixed-speed wind
coupled with the inverter
(e.g. Photovoltaic, fuel cells, etc.). Distributed energy
storage devices can be charged with the power excess
and discharge to cover the power deficit. Thus, they
help to enhance the reliability of microgrid as well as
making it efficient and economical. Furthermore,
energy storage is known as fast response devices.
Therefore, they also prevent transient instability and
participate to control the voltage and the frequency of
ng the balance reserve
ranging from short time. The diagram of a microgrid
which includes many systems: PV, a variable-speed
wind generator, fuel cell, microturbine and a battery
energy storage system is shown in Figure 1. Each
distributed energy resource is interfaced with its
corresponding bus through a power-electronic
converter. The microgrid is connected to the upstream
network at the Point of common coupling (PCC). The
power is furnished from a Low-voltage (LV)
transmission grid, through a substation transformer.
The microgrid operates with two modes: the grid-
connected mode and the islanded mode. In the grid-
connected mode, the PCC is closed and the microgrid
is connected with the main grid. It leads that the
microgrid can exchange energy with the main grid.
When the upstream network occurs the disturbance or
the microgrid gets the optimal operation state, the
switch at PCC can be opened to disconnect the

International Journal of Trend in Scientific
microgrid. Thus, the microgrid can continue to
operate in the so called islanded mode.
Figure 1: A studied Microgrid structure
MICROGRID OPERATION
Two operation modes of microgrid can be defined as
follows:
I. Grid-connected Mode:
The microgrid (MG) is connected to the upstream
network. The MG can receive totally or partially
the energy by the main grid (depending on the
power sharing). On the other hand, the power
excess can be sent to the main grid (when the total
production exceeds consumption).
II. Island Mode:
When the upstream network has a failure, or there
are some planned actions (for example, in order to
perform maintenance actions), the MG can
smoothly move to islanded operation. Thus, the
MG operate autonomously, is called island mode,
in a similar way to the electric power systems of
the physical islands.
Furthermore, the operation of the microgrid may
depend on conflicting interests among different
stakeholders involved in electricity supply, such as
system/network operators, DG owner
operators, energy suppliers, and so on, as well as
customers or regulatory bodies. Optimal operation of
microgrid is based on economic, technical, or
environmental aspects [1]. The microgrid operation
strategies are presented in Figure 2.
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
microgrid. Thus, the microgrid can continue to
A studied Microgrid structure
Two operation modes of microgrid can be defined as
(MG) is connected to the upstream
network. The MG can receive totally or partially
the energy by the main grid (depending on the
power sharing). On the other hand, the power
excess can be sent to the main grid (when the total
When the upstream network has a failure, or there
are some planned actions (for example, in order to
perform maintenance actions), the MG can
smoothly move to islanded operation. Thus, the
MG operate autonomously, is called island mode,
in a similar way to the electric power systems of
Furthermore, the operation of the microgrid may
depend on conflicting interests among different
stakeholders involved in electricity supply, such as
system/network operators, DG owners, DER
operators, energy suppliers, and so on, as well as
customers or regulatory bodies. Optimal operation of
microgrid is based on economic, technical, or
environmental aspects [1]. The microgrid operation
Figure 2: The microgrid operation strategies
There are four operational options as follows:
 Economic option
 Technical option
 Environmental option
 Combined objective option
A. The economic option
In the economic option, the objective function is to
minimize total costs of DER operation and Revenue.
This option assumes lost cost and emission
obligations. The constraints are expressed as the
physical constraints of DER and energy balance. The
economic mode of microgrid operation is shown in
Figure 3.
Figure 3: The economic mode of microgrid operation
B. The technical option
The technical mode of microgrid operation is
presented in Figure 4. The power loss is demonstrated
as the objective function. The voltage variation and
Research and Development (IJTSRD) ISSN: 2456-6470
Dec 2018 Page: 592
2: The microgrid operation strategies
There are four operational options as follows:
Combined objective option
In the economic option, the objective function is to
osts of DER operation and Revenue.
This option assumes lost cost and emission
obligations. The constraints are expressed as the
physical constraints of DER and energy balance. The
economic mode of microgrid operation is shown in
conomic mode of microgrid operation
The technical mode of microgrid operation is
presented in Figure 4. The power loss is demonstrated
as the objective function. The voltage variation and

device loading, DER physical limits and energy
balance are the constraints.
Figure 4: The technical mode of microgrid operation
C. The environmental option
The environmental mode of MG operation is shown in
Figure 3.5. The DER units with lower specific
emission levels will be the target of choice which
does not consider the financial or technical aspects.
The emission cost is given as the objective of this
option.
Figure 3.5: The environmental mode of microgrid
operation
D. The combined option
The combined option solves a mu
problem to satisfy all of the economic, technical and
environmental aspects. The objective function
includes the economic and the economic equivalents
of the technical and environmental, considering
constraints from the voltage variation and
DER physical limits and the balance energy. The
combine mode of microgrid operation is shown in
Figure 6.
physical limits and energy
Figure 4: The technical mode of microgrid operation
The environmental mode of MG operation is shown in
Figure 3.5. The DER units with lower specific
e the target of choice which
does not consider the financial or technical aspects.
The emission cost is given as the objective of this
Figure 3.5: The environmental mode of microgrid
The combined option solves a multi-objective
problem to satisfy all of the economic, technical and
environmental aspects. The objective function
includes the economic and the economic equivalents
of the technical and environmental, considering
constraints from the voltage variation and loading,
DER physical limits and the balance energy. The
combine mode of microgrid operation is shown in
Figure 6: The combined objective mode of microgrid
operation
1. Solar cell modelling
Solar cell can be modelled as current source (Iph) in
parallel with Diode (D), Shunt resistance (Rsh) and
series resistance (Rse).Current and voltage profile of
the solar cell depends on Atmosphere temperature (T),
and irradiance (S). The output power of Photo voltaic
cell is given by P=V*I. The current produ
PV cell is equal to the current produced by the current
source minus the diode and shunt resistance current.
The light generated current of Photo voltaic cell
depends on the solar irradiation and the temperature.
IshIdIphI 
1000
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S
TrTKiISCIph 
)1(
*(


AKT
Rsivq
eIoId


























KA
TTr
Egq
e
Tr
T
IorIo *
11
**
3
**
I=output current of the PV cell.
Iph=cell generated current Id=Diode current
Ish=current drawn by the shunt resistance
Isc=short circuit of the PV cell.
Ki=short circuit temp coefficient of cell
(0.0032A/k(approx...)) T=module operating
temperature in kelvin
Tr=reference temperature in kelvin=298k
Q=charge of electron=1.9 ∗ 10
S=module irradiance (/m2
)
Eg=energy band gap=1.1ev A=ideality factor=1.6
K=Boltzmann constant=1.38 ∗
Dec 2018 Page: 593
Figure 6: The combined objective mode of microgrid
operation
Solar cell can be modelled as current source (Iph) in
parallel with Diode (D), Shunt resistance (Rsh) and
series resistance (Rse).Current and voltage profile of
the solar cell depends on Atmosphere temperature (T),
and irradiance (S). The output power of Photo voltaic
cell is given by P=V*I. The current produced by the
PV cell is equal to the current produced by the current
source minus the diode and shunt resistance current.
The light generated current of Photo voltaic cell
depends on the solar irradiation and the temperature.
(1)
(2)
(3)
(4)
I=output current of the PV cell.
Iph=cell generated current Id=Diode current
Ish=current drawn by the shunt resistance
Isc=short circuit of the PV cell.
t temp coefficient of cell
(0.0032A/k(approx...)) T=module operating
Tr=reference temperature in kelvin=298k
10−19
Eg=energy band gap=1.1ev A=ideality factor=1.6
∗ 10−23

The important parameters of solar cell are open circuit
voltage (Voc), short circuit current (Isc), Maximum
Output power (Pmax).
2. Equivalent circuit
Here is the source current or the solar cell current
which is of nearly constant. Id is the diode current,
Diode is placed in parallel to ground the cells which
are which are affected by the unshaded portion of the
sun irradiation. Rsh is to to represent the leakage
current that is presented in the cell which is the order
of 1000 ohms. Rse is the series resistance to replace
the losses present the cell. Vo is the output voltage or
the open circuit voltage presented, at the terminals of
the cell. Io is the current available at the output of the
cell. The equivalent circuit of the solar cell is shown
as below.
Figure.7. Equivalent circuit of PV cell
The source current generated the cell is constant, as
and when the temperature are constant. As the current
generated by the cell depends on the temperature and
the solar irradiation. The diode current has the steeply
increasing characteristics, with the v
output current is the combination of cell current and
the diode current, it results in the nonlinear
characteristics of the output current and the voltage.
3. Parameters of solar cell
Open circuit voltage (Voc)
Open circuit voltage is the no load voltage that
appears across the terminals of the PV cell. Open
circuit voltage voltage of the PV cell depends
completely on the temperature (T).If the temperature
of the PV cell increases then the output voltage of the
solar cell or module decreases. By increasing the no
of series cells we can increase the open circuit voltage
of the solar module. Typically the open circuit voltage
of the cell at temperature 25 degrees is about 0.6v for
silicon cell.
The important parameters of solar cell are open circuit
voltage (Voc), short circuit current (Isc), Maximum
Here is the source current or the solar cell current
constant. Id is the diode current,
Diode is placed in parallel to ground the cells which
are which are affected by the unshaded portion of the
is to to represent the leakage
current that is presented in the cell which is the order
000 ohms. Rse is the series resistance to replace
the losses present the cell. Vo is the output voltage or
the open circuit voltage presented, at the terminals of
the cell. Io is the current available at the output of the
e solar cell is shown
Figure.7. Equivalent circuit of PV cell
The source current generated the cell is constant, as
and when the temperature are constant. As the current
generated by the cell depends on the temperature and
the solar irradiation. The diode current has the steeply
increasing characteristics, with the voltage. The
output current is the combination of cell current and
the diode current, it results in the nonlinear
characteristics of the output current and the voltage.
d voltage that
appears across the terminals of the PV cell. Open
circuit voltage voltage of the PV cell depends
completely on the temperature (T).If the temperature
of the PV cell increases then the output voltage of the
increasing the no
of series cells we can increase the open circuit voltage
of the solar module. Typically the open circuit voltage
of the cell at temperature 25 degrees is about 0.6v for
Short circuit current (Isc)
Short circuit current of the cell is the maximum
current that will flow under short circuit condition or
zero voltage condition, and when the output terminals
are short circuited. Short circuit current of the cell
directly depends on the solar irradiance and reduces
when the PN junction temperature decreases. Typical
ratings of Short circuit current of PV panel ranges
from 1-10 amps.
Series resistance (Rse)
Series resistance is placed in the model of solar cell to
replace the losses occur in that. If the Rse increases
then the losses, voltage drop increases. Which results
in the sagging of current controlled portion of I
curve. Loss due to PV cell is given by Vrse*Irse or
Irse2
∗Rse . The value of the Rse is low and nearly less
than 1 ohm.
Shunt resistance (Rsh)
The shunt resistance in the PV cell is to represent the
leakage current occur in the cell, generally the value
of Rsh is of high value of the order of thousands of
ohms. Decreased in the value of Rsh results into the
increase in the value of the leakage current, which
results into the drop in the net output current intern
reduces the open circuit voltage.
Reverse saturation current
When the output cell current of the PV cell increases
then the Voc reduces because the cell temperature
increases, there by the reverse saturati
the cell increases. Reverse saturation current is
effectively known as leakage current.
III. SIMULATION
A micro-grid (grid-connected PV system) system is
modelled and developed in MATLAB/Simulink. The
micro-grid in congestion with main grid is de
feed a load of a community and simulation is
performed for one year as shown in Figure 8. BESS is
incorporated to minimize the power outage when
main grid or PV system output is not available.
The simulation is performed for variable solar
irradiance and variable load throughout the year. The
optimum size requirement of different components of
the proposed system is calculate by taking power
outage, overall coat and environmental concerns into
consideration.
Dec 2018 Page: 594
he cell is the maximum
current that will flow under short circuit condition or
zero voltage condition, and when the output terminals
are short circuited. Short circuit current of the cell
directly depends on the solar irradiance and reduces
ction temperature decreases. Typical
ratings of Short circuit current of PV panel ranges
Series resistance is placed in the model of solar cell to
replace the losses occur in that. If the Rse increases
es, voltage drop increases. Which results
in the sagging of current controlled portion of I-V
curve. Loss due to PV cell is given by Vrse*Irse or
Rse . The value of the Rse is low and nearly less
ce in the PV cell is to represent the
leakage current occur in the cell, generally the value
of Rsh is of high value of the order of thousands of
ohms. Decreased in the value of Rsh results into the
increase in the value of the leakage current, which
ts into the drop in the net output current intern
reduces the open circuit voltage.
When the output cell current of the PV cell increases
then the Voc reduces because the cell temperature
increases, there by the reverse saturation current of
the cell increases. Reverse saturation current is
effectively known as leakage current.
connected PV system) system is
modelled and developed in MATLAB/Simulink. The
grid in congestion with main grid is designed to
feed a load of a community and simulation is
performed for one year as shown in Figure 8. BESS is
incorporated to minimize the power outage when
main grid or PV system output is not available.
The simulation is performed for variable solar
throughout the year. The
optimum size requirement of different components of
the proposed system is calculate by taking power
outage, overall coat and environmental concerns into

Figure 8 MATLAB/Simulink model of grid connected PV system
A. LOAD CALCULATIONS
The load for a community is for summer and winter season. AS expected, in summer season the requirement of
the power is more as compared to the winter season. The load is calculated in that manner is shown in Table 1.
Table 1.
Sr.
No.
Load
No. in
Use (Watts)
1. CFLs 04
2. CFLs 02
3. Ceiling Fans 02
4. TVs 01
5.
Water
pumps
01
6. Refrigerators (1×0.25) *
Total
A. No. of house 332
Commercial purpose, temples and street light load
1. Shops 10
2. Temples 02
3. Street lights 30
C. Total
Schools and primary health center load
1. CFLs 40
2. Ceiling Fans 30
3. Computers 03
C. Total
A
c
A
c
A
c
A
<Grid>
www.ijtsrd.com | Volume – 2 | Issue – 6 | Sep-Oct 2018
Figure 8 MATLAB/Simulink model of grid connected PV system with BESS
Estimated load for the selected location.
Power
(Watts)
Summers (April-
October)
Winters (November
Hours/Day Wh/Day Hours/Day
Domestic appliances load
20 06 480 07
10 05 100 06
50 10 1000 00
75 03 225 03
500 01 500 0.5
500 06 750 00
3055
1151735
Commercial purpose, temples and street light load
600 10 60000 08
500 06 6000 06
50 10 15000 12
81000
Schools and primary health center load
20 02 1600 03
50 06 9000 00
250 05 3750 05
14350
A
c
(600V)
(600V)
A
c
A
c
A
c
Breaker
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 595
with BESS
Winters (November-
March)
Hours/Day Wh/Day
07 560
06 120
00 00
03 225
0.5 250
00 00
1155
435435
08 48000
06 6000
12 18000
72000
03 2400
00 00
05 3750
6150
A
c
(600V)
c
A

Figure 9. Daily load profile for a the summer and winter season
5.1. TEMPERATURE PROFILE
The temperature profile of the location is one of the factors that is
system for that location. Figure 10. shows the temperature profile for that location. As expected, in mid of the
year the temperature level is on higher side, whereas in starting and end of the year temperature i
side.
Figure 10. Temperature profile of the location
5.2. SOLAR IRRADIANCE PROFILE
The output power of PV system is directly proportional to the solar irradiance available at that location. Higher
the solar irradiance more will be the output
maximum amount of solar irradiance is available and maximum power of the solar system is for those months.
Figure 11 Solar irradiance at the location
5.3. LOAD PROFILE
As per the load calculate din Table.1, the load is maximum in the month of May and June. Figure 12 shows the
load profile.
The temperature profile of the location is one of the factors that is responsible for output generated by the PV
year the temperature level is on higher side, whereas in starting and end of the year temperature i
Figure 10. Temperature profile of the location
SOLAR IRRADIANCE PROFILE
the solar irradiance more will be the output power generated by the PV system. In the month of May and June
Figure 11 Solar irradiance at the location
ate din Table.1, the load is maximum in the month of May and June. Figure 12 shows the
Dec 2018 Page: 596
responsible for output generated by the PV
year the temperature level is on higher side, whereas in starting and end of the year temperature is on lower
power generated by the PV system. In the month of May and June
ate din Table.1, the load is maximum in the month of May and June. Figure 12 shows the

5.4. POWER TO/FROM THE GRID
If the PV system is not generating enough power to feed the load, power is purchased from the grid.
surplus power is available the power is given back to the grid. Figure 13 shows the power flow to/from the grid.
5.5. BESS POWER
BESS is used for limiting the power outage when PV system and grid power is not available.
between the load and supply is the power to/from the BESS. If surplus power is available the BESS is in
charging state and if there is requirement of power BESS will provide that power and goes in to discharging
state. Figure 14 shows the power profile of the BESS.
State of Charge (SoC) of BESS is also shown in Figure 15. As from the figure it is clear that, in the peak load
season, i.e. summer season the BESS goes in frequent charge/discharge state. Whereas d
when the load is not as high, BESS is in idle state and remains in its maximum charge state i.e. 90%.
Figure 12 Load profile
POWER TO/FROM THE GRID
If the PV system is not generating enough power to feed the load, power is purchased from the grid.
Figure 5.6 Grid power
BESS is used for limiting the power outage when PV system and grid power is not available.
ower profile of the BESS.
Figure 14 Power flow of BESS
season, i.e. summer season the BESS goes in frequent charge/discharge state. Whereas d
Dec 2018 Page: 597
If the PV system is not generating enough power to feed the load, power is purchased from the grid. If there is
BESS is used for limiting the power outage when PV system and grid power is not available. The difference
season, i.e. summer season the BESS goes in frequent charge/discharge state. Whereas during winter season,

5.6. COMPAISON OF DIFFERENT POWER
The power generated and absorbed by different components of the micro
always should be balance between supply and demand for continuous power supply. Figure 16 shows the
waveforms of different components of microgrid. This figure shows the daily profile and it can easily be
observed by the waveform that if there is any deficiency in the power BESS gets in to discharging mode. If any
deficiency still remains then grid will compensate that. On the other hand, if there is surplus power is available
the BESS will start charging.
Figure 16. Power
VI. Conclusions
This study sought out to answer the question if the
design of a microgrid with renewable energy sources
is feasible/viable, even in conditions of low energy
efficiency and high installation cost (worst case
scenarios). This work provides a high-level overview
and proposes a method to model the tasks associated
with energy, economic and environmental issues. The
findings presented in this document are based on a
methodology that has simplifications about system
design and overall feasibility. Based on the findings,
the microgrid of the present study is considered to be
feasible (both techno-economically and
environmentally) and attractive to investment. In this
thesis, a multi-string grid-connected photovoltaic
(PV) system with harmonic compensation was
presented. For the general configuration, a novel
topology of central inverter with individual DC/DC
converter was introduced to model the grid interface
of solar arrays. Then DC transmission lines were also
Figure 15. SoC of BESS
COMPAISON OF DIFFERENT POWER
The power generated and absorbed by different components of the micro-grid is shown in Figure 5.9. There
eform that if there is any deficiency in the power BESS gets in to discharging mode. If any
Figure 16. Power waveform of different components of microgrid
This study sought out to answer the question if the
design of a microgrid with renewable energy sources
is feasible/viable, even in conditions of low energy
iency and high installation cost (worst case
level overview
and proposes a method to model the tasks associated
with energy, economic and environmental issues. The
findings presented in this document are based on a
hodology that has simplifications about system
design and overall feasibility. Based on the findings,
the microgrid of the present study is considered to be
economically and
environmentally) and attractive to investment. In this
connected photovoltaic
(PV) system with harmonic compensation was
presented. For the general configuration, a novel
topology of central inverter with individual DC/DC
converter was introduced to model the grid interface
ys. Then DC transmission lines were also
proposed to emulate the short distance between solar
arrays and the central inverter. For the distribution
network, two segments of distribution lines with
three-phase resistive load were developed to simplify
the real distribution network. The system performance
and transient response under disturbance conditions
were analyzed in MATLAB. Later on, small signal
analysis was also carried out to validate the simulation
model. The results showed that the system remain
stable under the disturbance and the performance was
acceptable.
REFERENCES
1. Thomas S. Basso, “High
connected photovoltaic technology codes and
standards”, 33rd IEEE Photovoltaic Specialists
Conference, 2008, pp. 1-4
2. Yang Weidong, Zhou Xia, Xue Feng, “Impacts of
large scale and high voltage level photovoltaic
Dec 2018 Page: 598
d is shown in Figure 5.9. There
eform that if there is any deficiency in the power BESS gets in to discharging mode. If any
waveform of different components of microgrid
proposed to emulate the short distance between solar
arrays and the central inverter. For the distribution
network, two segments of distribution lines with
phase resistive load were developed to simplify
real distribution network. The system performance
and transient response under disturbance conditions
were analyzed in MATLAB. Later on, small signal
analysis was also carried out to validate the simulation
model. The results showed that the system remained
stable under the disturbance and the performance was
Thomas S. Basso, “High-penetration, grid-
connected photovoltaic technology codes and
standards”, 33rd IEEE Photovoltaic Specialists
4
Yang Weidong, Zhou Xia, Xue Feng, “Impacts of
large scale and high voltage level photovoltaic

penetration on the security and stability of power
system”, Asia-Pacific Power and Energy
Engineering Conference, 2010, pp. 1
3. H. C. Seo, C. H. Kim, Y. M. Yoon, C. S. Jung,
“Dynamics of grid-connected photovoltaic system
at fault conditions”, Asia and Pacific
Transmission & Distribution Conference &
Exposition, 2009, pp. 1-4
4. S. Phuttapatimok, A. Sangswang, M. Seapan, D.
Chenvidhya, and K. Kirtikara, “Evaluat
contribution in the presence of PV grid
systems”, 33rd IEEE Photovoltaic Specialists
Conference, 2008, pp. 1-5
5. Prajna Paramita Dash, Mehrdad Kazerani, “Study
of islanding behavior of a gridconnected
photovoltaic system equipped with a feed
control scheme”, 36th Annual Conference on
IEEE Industrial Electronics Society, Nov 2010,
pp. 3228-3234
6. Li Wang, Ying-Hao Lin, “Dynamic stability
analyses of a photovoltaic Ito, H. Miyata,
7. M. Taniguchi, T. Aihara, N. Uchiyama, and H.
Konishi, “Harmonic current reduction control for
grid-connected PV generation systems”,
International Power Electronics Conference, 2010,
pp. 1695-1700 C. Rodriguez, G. A. J.
Amaratunga, “Dynamic stability of grid
connected photovoltaic systems”, IEEE Power
Engineering Society General Meeting, June 2004,
pp. 2193-2199
8. Li Wang, Tzu-Ching Lin, “Dynamic stability and
transient responses of multiple gridconnected PV
systems”, IEEE/PES Transmission and
Distribution Conference and Exposition, 2008, pp.
1-6
9. Amirnaser Yazdani, Prajna Paramita Dash, “A
control methodology and characterization of
dynamics for a photovoltaic (PV) system
interfaced with a distribution network”, IEEE
Trans. on Power Delivery, 2009, vol. 24, pp.
1538-1551
10. Chris S. Edrington, Saritha Balatha
Jianwu Cao, “Analysis and control of a multi
string photovoltaic (PV) system interfaced with a
utility grid”, IEEE Power and Energy Society
General Meeting, 2010, pp. 1-6
11. Chris S. Edrington, Saritha Balathandayuthapani,
and Jianwu Cao, “Analysis of integrated storage
penetration on the security and stability of power
Pacific Power and Energy
Engineering Conference, 2010, pp. 1-5 [3]
oon, C. S. Jung,
connected photovoltaic system
at fault conditions”, Asia and Pacific
Transmission & Distribution Conference &
S. Phuttapatimok, A. Sangswang, M. Seapan, D.
Chenvidhya, and K. Kirtikara, “Evaluation of fault
contribution in the presence of PV grid-connected
systems”, 33rd IEEE Photovoltaic Specialists
Prajna Paramita Dash, Mehrdad Kazerani, “Study
of islanding behavior of a gridconnected
a feed-forward
control scheme”, 36th Annual Conference on
IEEE Industrial Electronics Society, Nov 2010,
Hao Lin, “Dynamic stability
analyses of a photovoltaic Ito, H. Miyata,
M. Taniguchi, T. Aihara, N. Uchiyama, and H.
shi, “Harmonic current reduction control for
connected PV generation systems”,
International Power Electronics Conference, 2010,
1700 C. Rodriguez, G. A. J.
Amaratunga, “Dynamic stability of grid-
connected photovoltaic systems”, IEEE Power
gineering Society General Meeting, June 2004,
Ching Lin, “Dynamic stability and
transient responses of multiple gridconnected PV
systems”, IEEE/PES Transmission and
Distribution Conference and Exposition, 2008, pp.
r Yazdani, Prajna Paramita Dash, “A
control methodology and characterization of
dynamics for a photovoltaic (PV) system
interfaced with a distribution network”, IEEE
Trans. on Power Delivery, 2009, vol. 24, pp.
Chris S. Edrington, Saritha Balathandayuthapani,
Jianwu Cao, “Analysis and control of a multi-
string photovoltaic (PV) system interfaced with a
utility grid”, IEEE Power and Energy Society
Chris S. Edrington, Saritha Balathandayuthapani,
sis of integrated storage
and grid interfaced photovoltaic system via nine
switch three-level inverter”, IECON 2010
Annual Conference on IEEE Industrial Electronics
Society, Nov 2010, pp. 3258
12. Masahide Hojo, Tokuo Ohnishi, “Adjustable
harmonic mitigation for grid
photovoltaic system utilizing surplus capacity of
utility interactive inverter”, 37th IEEE Power
Electronics Specialists Conference, 2006, pp. 1
13. Seyed Hossein Hosseini, Mitra Sarhangzadeh,
Mohammad B. B. Sharifian, Farzad sed
“Using PV in distribution network to supply local
loads and power quality enhancement”,
International Conference on Electrical and
Electronics Engineering, 2009, pp. 249
14. Xiaogao Chen, Qing Fu, Donghai Wang,
“Performance analysis of PV gridconn
conditioning system with UPS”, 4 th IEEE
Conference on Industrial Electronics and
Applications, 2009, pp. 2172
15. Jing Li, Fang Zhuo, Jinjun Liu, Xianwei Wang,
Bo Wen, Lin Wang, Song Ni, “Study on unified
control of grid-connected generation
harmonic compensation in dual
capacity PV system”, IEEE Energy Conversion
Congress and Exposition, 2009, pp. 3336
16. Xiaogao Chen, Qing Fu, David Infield, Shijie Yu,
“Modeling and control of Zsource grid
PV system with APF func
Universities Power Engineering Conference,
2009, pp. 1-5
17. Hongyu Li, Fang Zhuo, Zhaoan Wang, Wanjun
Lei, and Longhui Wu, “A novel time
current-detection algorithm for shunt active power
filters”, IEEE Trans. on Power Systems
vol. 20, pp. 644-651
18. Gyeong-Hun Kim, Hyo-
Jang, Sang-Soo Park, Sang
“Performance Analysis of the anti
function of a PV-AF system under multiple PV
system connections”, International Conference on
Electrical Machines and Systems, 2009, pp. 1
19. Indranil Bhattacharya, Yuhang Deng, Simon Y.
Foo, “Active filters for harmonics elimination in
solar photovoltaic grid-connected and stand
systems”, 2 nd Asia Symposium on Quality
Electronic Design, 2010, pp. 280
Dec 2018 Page: 599
and grid interfaced photovoltaic system via nine-
level inverter”, IECON 2010-36th
Annual Conference on IEEE Industrial Electronics
Society, Nov 2010, pp. 3258-3262
Masahide Hojo, Tokuo Ohnishi, “Adjustable
itigation for grid-connected
photovoltaic system utilizing surplus capacity of
utility interactive inverter”, 37th IEEE Power
Electronics Specialists Conference, 2006, pp. 1-6
Seyed Hossein Hosseini, Mitra Sarhangzadeh,
Mohammad B. B. Sharifian, Farzad sedaghati,
“Using PV in distribution network to supply local
loads and power quality enhancement”,
International Conference on Electrical and
Electronics Engineering, 2009, pp. 249-253
Xiaogao Chen, Qing Fu, Donghai Wang,
“Performance analysis of PV gridconnected power
conditioning system with UPS”, 4 th IEEE
Conference on Industrial Electronics and
Applications, 2009, pp. 2172-2176
Jing Li, Fang Zhuo, Jinjun Liu, Xianwei Wang,
Bo Wen, Lin Wang, Song Ni, “Study on unified
connected generation and
harmonic compensation in dual-stage high-
capacity PV system”, IEEE Energy Conversion
Congress and Exposition, 2009, pp. 3336-3342
Xiaogao Chen, Qing Fu, David Infield, Shijie Yu,
“Modeling and control of Zsource grid-connected
PV system with APF function”, 44th International
Universities Power Engineering Conference,
Hongyu Li, Fang Zhuo, Zhaoan Wang, Wanjun
Lei, and Longhui Wu, “A novel time-domain
detection algorithm for shunt active power
filters”, IEEE Trans. on Power Systems, 2005,
-Rong Seo, Seong-Jae
Soo Park, Sang-Yong Kim,
“Performance Analysis of the anti-islanding
AF system under multiple PV
system connections”, International Conference on
achines and Systems, 2009, pp. 1-5
Indranil Bhattacharya, Yuhang Deng, Simon Y.
Foo, “Active filters for harmonics elimination in
connected and stand-alone
systems”, 2 nd Asia Symposium on Quality
Electronic Design, 2010, pp. 280-284

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